Free 52-page report: MCP & API/AI integration

Your organization has hundreds of APIs and years of integration work. Your AI initiatives have chat interfaces.

The gap between them is costing you — every time an LLM has to tell a user to “go open the system and do it yourself,” a valuable workflow stays manual.

This report shows you how to bridge that gap without rewriting your existing systems.

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What You Will Learn

  • Why your current REST APIs break down when LLMs try to use them — and the specific design shift that fixes it.
  • The intent-based API pattern: what it is, when to use it, and how it maps to MCP tool definitions.
  • A decision framework for choosing between MCP, direct API calls, and orchestration layers.
  • Three bridge patterns for legacy systems — no greenfield rewrite required.
  • Practical examples your team can apply this week, not abstract theory.

Who Should Read the Report?

  • API designers & architects - You’re being asked to “make APIs AI-ready” — but nobody’s told you what that means concretely.
  • AI program leads - Your LLM demos work great. Your integrations with real enterprise systems don’t.
  • Enterprise architects - You need to connect AI agents to legacy systems without breaking existing contracts.

This isn’t a beginner overview — it assumes you understand the fundamentals of REST APIs and MCP tools.

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Contact the Author

Book a free 30-min consult to discuss AI and API integration and design techniques for your team.

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About the Author

James Higginbotham is the founder of LaunchAny and an API and AI coach. He is the author of “Principles of Web API Design” (Addison-Wesley) and helps organizations navigate the intersection of API strategy and AI transformation.